A Method Based on Split-Combining Algorithm for the Segmentation of the Image of Tongue

The segmentation of the image of tongue is a prophase work to establish a system of automatic diagnosis by tongue features in Traditional Chinese Medicine (TCM). Only when favourable results of the segmentation of the image of tongue can be achieved, the next stage will be able to proceed effectively. Considering the causes above, the significance of the segmentation of the image of tongue is obvious. This paper presents here several methods for the segmentation of the image, especially for Split-Combining Algorithm. Then a new Mended-Split-Combining Algorithm is proposed, which is based on the traditional Split-Combining Algorithm. This new method proposed in this paper has its own advantages in several aspects, such as the standard of consistency, the algorithm speed(the new method's Time Complication Degree is O(n),while the traditional methods' are O(n(n+1)/2)) and the experiment results that the intuitionistic results can be seen. What's more, in this paper, some comparisons have been made between this new method and all those other traditional methods. From the comparison ,it can clearly be found that the Mended-Split-Combining Algorithm is better than any other algorithms. At last, this paper also discusses the deficiencies that still exist and offers some suggestions. On the whole, Experimental results are satisfactory.